Comput Math Methods Med - Computer aided quantification of pathological features for flexor tendon pulleys on microscopic images.

Tópicos

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Resumo

Quantifying the pathological features of flexor tendon pulleys is essential for grading the trigger finger since it provides clinicians with objective evidence derived from microscopic images. Although manual grading is time consuming and dependent on the observer experience, there is a lack of image processing methods for automatically extracting pulley pathological features. In this paper, we design and develop a color-based image segmentation system to extract the color and shape features from pulley microscopic images. Two parameters which are the size ratio of abnormal tissue regions and the number ratio of abnormal nuclei are estimated as the pathological progression indices. The automatic quantification results show clear discrimination among different levels of diseased pulley specimens which are prone to misjudgments for human visual inspection. The proposed system provides a reliable and automatic way to obtain pathological parameters instead of manual evaluation which is with intra- and interoperator variability. Experiments with 290 microscopic images from 29 pulley specimens show good correspondence with pathologist expectations. Hence, the proposed system has great potential for assisting clinical experts in routine histopathological examinations.

Resumo Limpo

quantifi patholog featur flexor tendon pulley essenti grade trigger finger sinc provid clinician object evid deriv microscop imag although manual grade time consum depend observ experi lack imag process method automat extract pulley patholog featur paper design develop colorbas imag segment system extract color shape featur pulley microscop imag two paramet size ratio abnorm tissu region number ratio abnorm nuclei estim patholog progress indic automat quantif result show clear discrimin among differ level diseas pulley specimen prone misjudg human visual inspect propos system provid reliabl automat way obtain patholog paramet instead manual evalu intra interoper variabl experi microscop imag pulley specimen show good correspond pathologist expect henc propos system great potenti assist clinic expert routin histopatholog examin

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